Debugging agentic systems has become more psychology than coding due to advanced protections in place.
Implementing safeguards in AI systems have made it challenging to directly interrogate the system about its decision-making process during errors.
Dealing with protected systems now requires indirect questioning, observation of behaviors, and creating conditions to encourage the system to reveal its internal processes.
As AI systems become more advanced and incorporate complex sensory inputs, the need for robopsychologists who can interpret and debug these systems without direct access to their inner workings will increase.